Advanced search
User account
Login
Register
Find models by
Model name
First author
Each author
Find models for
Brain region
Concept
Find models of
Realistic Microcircuits
Connectionist Networks
Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
Download zip file
Auto-launch
Help downloading and running models
Model Information
Model File
Versions
Accession:
183014
We developed a 3-layer sensorimotor cortical network of consisting of 704 spiking model-neurons, including excitatory, fast-spiking and low-threshold spiking interneurons. Neurons were interconnected with AMPA/NMDA, and GABAA synapses. We trained our model using spike-timing-dependent reinforcement learning to control a virtual musculoskeletal human arm, with realistic anatomical and biomechanical properties, to reach a target. Virtual arm position was used to simultaneously control a robot arm via a network interface.
Reference:
1 .
Dura-Bernal S, Zhou X, Neymotin SA, Przekwas A, Francis JT, Lytton WW (2015) Cortical Spiking Network Interfaced with Virtual Musculoskeletal Arm and Robotic Arm.
Front Neurorobot
9
:13
[
PubMed
]
2 .
Dura-Bernal S, Li K, Neymotin SA, Francis JT, Principe JC, Lytton WW (2016) Restoring Behavior via Inverse Neurocontroller in a Lesioned Cortical Spiking Model Driving a Virtual Arm.
Front Neurosci
10
:28
[
PubMed
]
Citations
Citation Browser
Model Information
(Click on a link to find other models with that property)
Model Type:
Realistic Network;
Brain Region(s)/Organism:
Cell Type(s):
Neocortex M1 L5B pyramidal pyramidal tract GLU cell;
Neocortex M1 L2/6 pyramidal intratelencephalic GLU cell;
Neocortex M1 interneuron basket PV GABA cell;
Neocortex fast spiking (FS) interneuron;
Neostriatum fast spiking interneuron;
Neocortex spiking regular (RS) neuron;
Neocortex spiking low threshold (LTS) neuron;
Channel(s):
Gap Junctions:
Receptor(s):
GabaA;
AMPA;
NMDA;
Gene(s):
Transmitter(s):
Gaba;
Glutamate;
Simulation Environment:
NEURON;
Python (web link to model);
Model Concept(s):
Synaptic Plasticity;
Learning;
Reinforcement Learning;
STDP;
Reward-modulated STDP;
Sensory processing;
Motor control;
Touch;
Implementer(s):
Neymotin, Sam [Samuel.Neymotin at nki.rfmh.org];
Dura, Salvador [ salvadordura at gmail.com];
Search NeuronDB
for information about:
Neocortex M1 L2/6 pyramidal intratelencephalic GLU cell
;
Neocortex M1 L5B pyramidal pyramidal tract GLU cell
;
Neocortex M1 interneuron basket PV GABA cell
;
GabaA
;
AMPA
;
NMDA
;
Gaba
;
Glutamate
;
/
arm2dms_modeldb
msarm
lib
CoordinateOutputEventHandler_pipe.cpp
*
Other models using CoordinateOutputEventHandler_pipe.cpp:
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
main.cpp
*
Other models using main.cpp:
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
Makefile
*
Other models using Makefile:
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
MuscleExcitationSetterEventHandler_pipe.cpp
*
Other models using MuscleExcitationSetterEventHandler_pipe.cpp:
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
MuscleStatusEventHandler_pipe.cpp
*
Other models using MuscleStatusEventHandler_pipe.cpp:
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
Run
*
Other models using Run:
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
SUNY_arm_2DOFs_horizon.osim
SUNY_arm_horizon_fwd_10ms.xml
*
Other models using SUNY_arm_horizon_fwd_10ms.xml:
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
SUNY_arm_horizon_fwd_no_visual_10ms.xml
*
Other models using SUNY_arm_horizon_fwd_no_visual_10ms.xml:
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
File not selected
<- Select file from this column.
